In Cooperative Intelligent Transportation Systems (C-ITS), the continuous exchange of large data volumes is critical for the effectiveness of applications, making the security of these messages essential. For instance, to protect the privacy of road users, vehicles are required to frequently change their pseudonyms, along with other network identifiers such as IP addresses, MAC addresses, and so on. This dynamic nature of identifier changes introduces significant challenges for performing efficient intrusion detection, as tracking and identifying malicious behavior becomes more complex.
In this context, there is a growing need for an advanced Intrusion Detection System (IDS) tailored for C-ITS environments. This IDS must ensure a balance between meeting the strict privacy requirements set by standards and enhancing the detection and prevention of intrusions and cyber threats.
In this presentation, we emphasize the critical importance of privacy-aware intrusion detection and provide key recommendations for conducting research in this domain.